Automatic License Plate Recognition(ALPR) Using HTM Cortical Learning Algorithm

被引：0

作者：

Afeefa, P. P. ^{[1
]}

Thulasidharan, Pillai Praveen ^{[1
]}

机构：

[1] NSS Coll Engn, Dept Comp Sci & Engn, Palakkad, Kerala, India

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL (I2C2) | 2017年

关键词：

Segmentation; Character recognition; Homomorphic filtering; Connected component analysis; Hierarchical temporal memory - Cortical learning algorithm; Sparse distributed representation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Automatic License Plate Recognition(ALPR) system plays a major role in automatic traffic control and security management, like parking automation, access control, to measure journey time and for law enforcement, etc. This system is designed with a hierarchical temporal memory(HTM) cortical learning algorithm to recognize all the characters that can be found in a license plate. By using HTM spatial pooler component, we could achieve high fault tolerance during recognition.

引用

页数：4

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